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Title:A survey on imitation learning for contact-rich tasks in robotics
Authors:ID Tsuji, Toshiaki (Author)
ID Kato, Yasuhiro (Author)
ID Solak, Gokhan (Author)
ID Zhang, Heng (Author)
ID Petrič, Tadej, Institut "Jožef Stefan" (Author)
ID Nori, Francesco (Author)
ID Ajoudani, Arash (Author)
Files:URL URL - Source URL, visit https://journals.sagepub.com/doi/10.1177/02783649261417694
 
.pdf PDF - Presentation file, download (1,57 MB)
MD5: 6ECAB34689B020CD5AC3A9EDC6880C9D
 
Language:English
Typology:1.02 - Review Article
Organization:Logo IJS - Jožef Stefan Institute
Abstract:This paper comprehensively surveys research trends in imitation learning (IL) for contact-rich robotic tasks. Contact-rich tasks, which require complex physical interactions with the environment, represent a central challenge in robotics due to their nonlinear dynamics and sensitivity to small positional deviations. The paper examines demonstration collection methodologies, including teaching methods and sensory modalities crucial for capturing subtle interaction dynamics. We then analyze IL approaches, highlighting their applications to contact-rich manipulation. Recent advances in multimodal learning and foundation models have significantly enhanced performance in complex contact tasks across industrial, household, and healthcare domains. Through systematic organization of current research and identification of challenges, this survey provides a foundation for future advancements in contact-rich robotic manipulation.
Keywords:imitation learning, contact-rich robotic tasks, reinforcement learning, impedance control
Publication status:Published
Publication version:Version of Record
Submitted for review:11.06.2025
Article acceptance date:27.12.2025
Publication date:14.03.2026
Publisher:Sage Publications
Year of publishing:2026
Number of pages:str. 1-36
Numbering:Vol. 45, iss.
Source:Združeno kraljestvo
PID:20.500.12556/DiRROS-28477 New window
UDC:007.52
ISSN on article:1741-3176
DOI:10.1177/02783649261417694 New window
COBISS.SI-ID:272456707 New window
Copyright:© The Author(s) 2026
Note:Nasl. z nasl. zaslona; Soavtor iz Slovenije: Tadej Petrič; Opis vira z dne 20. 3. 2026;
Publication date in DiRROS:20.03.2026
Views:258
Downloads:96
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Record is a part of a journal

Title:The international journal of robotics research
Shortened title:Int. j. rob. res.
Publisher:Sage Publications
ISSN:1741-3176
COBISS.SI-ID:518268697 New window

Document is financed by a project

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:N2-0269-2022
Name:Dinamična več kontaktna interakcija celega telesa za izboljšanje natančnosti manipulacije

Funder:EC - European Commission
Project number:101189557
Name:foundaTion mOdels for Robots that haNdle smAll, soft and Deformable Objects
Acronym:TORNADO

Funder:Japan Society for the Promotion of Science
Project number:JP25K01191

Licences

License:CC BY-NC 4.0, Creative Commons Attribution-NonCommercial 4.0 International
Link:http://creativecommons.org/licenses/by-nc/4.0/
Description:A creative commons license that bans commercial use, but the users don’t have to license their derivative works on the same terms.
Licensing start date:14.03.2026
Applies to:VoR

Secondary language

Language:Slovenian
Keywords:učenje posnemanja, fizična interakcija robotov z okoljem


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